CMUSphinx4 SR

Speech recognizer based on the CMUSphinx project.
Additional language models can be downloaded from
Sourceforge
and Voxforge.
You can also learn your own dictionary and language model and reuse the standard English acoustic model.
To automatically create a dictionary and language model file from smaller text files simply go to
CMU lmtool page. For more details see
the CMU Building Language Model tutorial.
Once created you can use your dictionary and language model with an existing acoustic model e.g. en-us.

Notice: If you get bad results check that the sampling rate of your audio files match the one used to train the language model
(see CMUSphinx FAQ).
The included models where trained with a sampling rate of 16kHz.

Options

Audio Column

The audio column to process

Fail on error

The node fails when an error occurs during
processing. If input has multiple AudioFiles, setting "Fail on Error"
results in the Node failing when Speech Recognition of one one more
AudioFiles fails. If not set, the Node will complete with
missing values for all SR columns of the failed AudioFiles.

Audio Model

Build in audio models. Please notice that the included models where trained with a sampling rate of 16kHz.

Workflows

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